Arctic Large vs StarCoder2 7B

Compare Arctic Large and StarCoder2 7B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Arctic Large StarCoder2 7B
CategoryEnterpriseCode
Parameters480B (17B active)7B
Context Window128K16K
Input Price$0.06/1M tokens$0.008/1M tokens
Output Price$0.10/1M tokens$0.015/1M tokens
Latency~400ms~60ms

Choose Arctic Large when:

  • ✓ Data analysis
  • ✓ SQL generation
  • ✓ Business intelligence
Key Strengths:

Strong SQL, Data analysis, Enterprise features

Choose StarCoder2 7B when:

  • ✓ Code completion
  • ✓ Quick generation
  • ✓ Editor integration
Key Strengths:

Open weights, Many languages, Fast

Verdict: Arctic Large vs StarCoder2 7B

For cost efficiency, StarCoder2 7B wins at $0.008/1M input tokens. For speed, Arctic Large is faster at ~400ms. Arctic Large excels at Data analysis while StarCoder2 7B is better for Code completion. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Arctic Large costs $0.06/1M input tokens and $0.10/1M output tokens. StarCoder2 7B costs $0.008 input and $0.015 output. StarCoder2 7B is 7.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Arctic Large has a 128K context window with ~400ms latency. StarCoder2 7B offers 16K context at ~60ms. Arctic Large has the larger context window.

Best For

Arctic Large (Enterprise) is optimized for: Data analysis, SQL generation, Business intelligence. StarCoder2 7B (Code) works best for: Code completion, Quick generation, Editor integration.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use Arctic Large
response_a = client.chat.completions.create(
    model="arctic-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use StarCoder2 7B
response_b = client.chat.completions.create(
    model="starcoder2-7b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Arctic Large or StarCoder2 7B?

Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. StarCoder2 7B (Code, 7B) offers Open weights. Choose Arctic Large for Data analysis or StarCoder2 7B for Code completion.

How much does Arctic Large cost vs StarCoder2 7B?

Arctic Large: $0.06/1M input, $0.10/1M output. StarCoder2 7B: $0.008/1M input, $0.015/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Arctic Large and StarCoder2 7B by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.